Climate Change: Environment, Science and Policy

Entry requirements

2:1 degree with preference given to geography, natural sciences (such as environmental science, physics, chemistry and biology) and engineering subjects.

Candidates who do not achieve a 2:1 but have professional or voluntary experience will also be considered. Mature candidates will be considered favourably.

Months of entry

September

Course content

Our Climate Change: Environment, Science and Policy MSc course provides an opportunity to explore key issues relating to climate and environmental change at an advanced level. You will explore a wide range of critical topics focusing on human influences on the Earth’s climate and environment, and their societal consequences. The Science pathway focuses on the physical science aspects, such as forecasting climate change and its impacts. The Policy pathway focuses on the societal aspects, such as policymaking, adaptation and communication. Both pathways are flexible, with an interdisciplinary list of optional modules.

Watch a short video from Dr Tamsin Edwards, Course Leader on what you can expect from this flexible course.

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Key benefits

• Gain an up-to-date understanding of specific issues relating to climate and environmental changes in the Earth system, in particular human influences and societal consequences.
• Study the methods used to examine the potential future impacts of environmental changes, and their consequences, including changes to the climate, carbon cycle, hydrology and land use.
• Develop the multidisciplinary skills necessary to address complex research and policy questions.
• Learn to evaluate and analyse environmental change research critically and reflect on the strengths, weaknesses and potential societal implications of the science, and the range of possible policy responses.
• Develop an understanding of the scientific evidence needed for policymakers and society to respond to the problems associated with global and regional environmental changes, and understand the nature of the uncertainties involved in future predictions